Blockchain-based AI computing network

The operating model of utility networks has seen the emergence of AI computing service providers. AI computing service providers build their own AI computing centers by leasing IDC servers, and through the blockchain, they can fairly verify the type of AI training and reasoning chips, their computing scale, whether they are online, and other information on the chain. Thereby confirming its total computing power on the utility network. However, AI computing services,AI model training, and deployment required by computing order buyers are AI presumptive services with comparable service quality.

Online artificial intelligence computing in the chain is only one of the production factors of AI computing services. Computing service providers also need to purchase CPU servers, and hard disks, rent network bandwidth, maintain a stable power supply for AI servers, and other production factors to provide AI computing services.

How to measure and guarantee the service quality of AI computing services? An effective solution to this problem will determine whether utility blockchains are productive and whether utility coins can close the loop. Musse AI has designed an off-chain AI computing network solution to efficiently connect computing services to achieve efficient sharing and circulation of data, computing, algorithms, modules, services, and other elements. Through the utility blockchain-based artificial intelligence computing service quality scoring mechanism, the chain can track and publish transactions between computing service buyers and sellers.

The combination of on-chain and off-chain provides efficient production in the age of AI and maximizes the incentives for artificial intelligence computing service providers to join the utility computing network, reduce the cost of computing, and promote the unified solution of computing in cross-border fields. The goal is to establish a global artificial intelligence computing infrastructure that enables easy access to computing resources, efficient and unified task scheduling, user-friendly use without payment, and sustainable operating models and mechanisms.

The Musse AI computing network platform layer has designed four central sub-platforms based on the blockchain, namely the unified scheduling and management platform of AI computing network tasks, the unified storage and management platform of AI computing network data, the one-stop AI computing center debugging training deployment platform, and the AI computing Web Data Marketplace.